Published April 2, 2026 | Version v1
Preprint Open

The Perfect Instruction: Empirical Validation of the Triple-A Thesis through Actor-Agnostic Framework Design — Complete Research Package

  • 1. Independent AI Research, Siegen, Germany

Description

This research package presents Tb Meta OS Alpha, a text-based meta-framework for actor-independent task execution, and the empirical validation of its foundational Triple-A Thesis: "An actor requires no inherent intelligence for its actions if the instruction is perfect." The framework formalizes instruction completeness through seven criteria (V1-V7) and implements a deterministic SPARK loop (SENSE, PLAN, ACT, REFLECT, KNOW) with a six-layer memory system. The package contains three companion documents: (1) FINAL-Tb-Meta-OS-Alpha.pdf - the complete framework specification (v2.1 Final), (2) FINAL-Research-Paper.pdf - the research paper with formal definitions, proof structure, and empirical evaluation across multiple experiments, and (3) FINAL-Validierung-und-Beweismaterialien.pdf - comprehensive validation materials including multi-actor experiments (E1: 4 actors, E2: 5 actors), integration tests (Zyklus 4 with 3 independent validators), and the consolidated evidence matrix. All experiments confirm actor exchangeability with score variance below 15 points across diverse LLM actors, supporting Corollary 1 of the Triple-A Thesis.

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